Interdisciplinary Institute in Artificial Intelligence

LIST OF TOPICS

AI HEART

Embedded Hardware Architecture

Machine Learning and Reasoning

- DRAFT - Draw Me a French Information System, Nicolas Hili (LIG) (2023–2024)
- StereotypedNews - Automatic measurement and analysis of gender stereotypes in the media, François Portet (LIG). Partner: PACTE (2022–2023)
- ORCHAMPSOUND - Automated processing workflow to extract multi-trophic community data from passive acoustic monitoring, Wilfried Thuillier (LECA). Partner: LJK (2022–2023)

Interactive and Generative AI 

- GenAI-SA - Generative AI for Sustainable Urban Environments, Abdelkader Ben Saci (AAU). Partner: LIG (2023–2024)
- Text2Image - Characterization of Generative Image Techniques Based on Natural Language, David Wolle (MHA). Partners: LIG, CEA/DINOV, Lucid, TSA (2023/2024)

Explainable and Sustainable AI 

- ProvExp - Provenance-Based Explainability of Data Algorithms, Silviu Maniu (LIG) (2023/2024)
 

AI & APPLICATIONS

AI and Society 

Health and Wellness

- Conformal Proteomes - Conformal Predictions for the Characterization of Proteoforms in Mass Spectrometry, Thomas Burger (BGE) (2023/2024)
- DEEPKNEE - Using deep learning to prevent, diagnose, and monitor knee injuries in athletes, Julien Frère (Gipsa-lab). Partners: GRICAD, IMS, ISM (2023/2024)
- IA4DigAML - AI for Predicting Events in Acute Myeloblastic Leukemia (AML), Pascal Mossuz (IAB). Partners: LIG, HP2, Predimed (2023/2024)
- SleepStage - Optimization of an Artificial Intelligence (AI) Algorithm for Automated Sleep Stage Identification Based on Photoplethysmography (PPG) Signal Analysis, Sébastien Bailly (HP2) (2022–2023)

Environment & Energy 

- AIAACS - Artificial Intelligence for Arctic Atmospheric Chemistry Studies, Hans-Werner Jacobi (IGE) (2025/2026)
- E-Connect, Energy Consumption and Social Network with an AI Recommendation System, Béatrice Roussillon (GAEL) & Benoit Delinchant (G2ELab). Partners: LABEX EnergyAlps and ADEME (2025/2026)
- ICMST - Informed Clustering for Multivariate Spatio-Temporal Data - Application to the Detection of Meteorological Hazards in West Africa, Julien Ah-Pine (LIMOS) & Christophe Lavaysse (IGE). Partner: PEPR Math-Vives (2025/2026)
- TopOpLearn - Synthetic Topography and Optical Rasters for Studying Landscape Fault Deformation, Lea Pousse (ISTerre) (2023–2024)
- TRANSIENT-PALU - Deformations along the Palu-Koro fault (Sulawesi, Indonesia) based on seismological and geodetic data using deep learning to estimate transient slip, Agnès Helmstetter (ISTerre). Partners: BMKG, LDEO, TU Delft (2023/2024)
- MOBIDOU - Reliable Detection of Travel Modes for Hybrid Navigation in Sustainable Urban Mobility, Hassen Fourati (GIPSA-Lab). Partners: AGEIS, GRICAD (2022–2023)
- SAR-WELL - Artificial Intelligence Applied to the Detection of Landslide Areas in High Mountains Using SAR Imagery, Sophie Giffard-Roisin (ISTerre). Partner: EDYTEM (2022/2023)
- SSE-CHARACT - Characterizing slow slip events through spatio-temporal deep learning using a graph neural network, Mathilde Radiguet (ISTerre). Partner: Universidad Nacional Autónoma de México (2022/2023)

Industry of the Future 

AI4Science

- THERMO_ATLAS - Thermodynamics of Alloys through Active Learning and Atomistic Simulations, Guillaume Deffrennes (SIMaP) (2023/2024)
- TRAITNET - Trait-based neural networks for biodiversity models, Julyan Arbel (LJK) (2023–2024)
- P4ICE - Differentiable programming for glacio-hydrological modeling, Romain Millan (IGE). Partners: LJK (2023/2024)
- SAM - A Theoretical Study of the Cyclization of S-Adenosylhomocysteine (SAH) in an Aqueous Medium: The Contribution of Deep Learning to Understanding the Mechanisms Involved in the Origin of Life, Anne Milet (DCM). Partner: LSU (2022–2023)